Journal of Korean Biological Nursing Science

Korean society of Biological Nursing Science (한국기초간호학회)
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Risk Factors of Dyslipidemia and Related Factors of Medication Adherence in Korea Adults: KNHANES 2013-2015

한국인의 이상지질혈증 발생 위험 요인 및 약물복용이행 영향 요인 평가: 2013-2015 국민건강영양조사 자료 이용

  • Jeon, Mi Yang (College of Nursing.Institute of Health Science.Gyeongsang National University) ;
  • Choi, Won Hee (Department of Nursing, Kyungsung University) ;
  • Seo, Yeong Mi (Department of Nursing, Gyeongnam National University of Science and Technology)
  • 전미양 (경상대학교 간호대학.건강과학연구원) ;
  • 최원희 (경성대학교 간호학과) ;
  • 서영미 (경남과학기술대학교 간호학과)
  • Received : 2017.05.30
  • Accepted : 2017.07.17
  • Published : 2017.08.31
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Abstract

Purpose: Dyslipidemia was a known risk factor for cardiovascular disease and was a leading cause of mortality in worldwide. This study aimed to determine the factors associated with prevalence and medication treatment of dyslipidemia in Korean adult population. Methods: In this study, based on the criteria set by the Korean Society of Lipidology and Atherosclerosis, the factors associated with prevalence and medication treatment of dyslipidemia was evaluated in a population of 12,506 people ($age{\geq}20$), who participated in the Korean National Health and Nutrition Examination Survey (2013-2015). The findings were tested by using multivariate logistic regression. Results: Dyslipidemia prevalence rate was 36.5%. Among populations with dyslipidemia, 17.5% were treated with lipid-lowering drugs. In the multivariate logistic regression model, male, increase in age, lower education level, non-drinker, current smoking, less physical activity, increase of body mass index, hypertension, and diabetes were associated with an increased odd of dyslipidemia. Female, increase in age, higher income, excess fat intake, hypertension, diabetes, myocardial infarction, and angina were associated with an increased odd of medication treat. Conclusion: The results of this study could be used to screen patients at the high risk for dyslipidemia or to predict medication adherence.

Keywords

References

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